Abstract 3818: Infrequent chromosomal loss and recurrent gains lead to imbalanced expression of HLA genes in melanoma
Authors: Katie M. Campbell, Justin Saco, Egmidio Medina, Meelad Amouzgar, Shannon M. Pfeiffer, Cynthia R. Gonzalez, Gabriela Steiner, Ameya Champhekar, Cristina Puig Saus, Jesse Zaretsky, Gabriel Abril Rodriguez, Agustin Vega-Crespo, Ignacio Baselga Carretero, Mito Tariveranmoshabad, Anusha Kalbasi, Christine Spencer, Zachary L. Skidmore, Malachi Griffith, Obi L. Griffith, Daniel K. Wells, Antoni Ribas
Journal: Cancer Research (2022)

Abstract Introduction: Loss-of-heterozygosity (LOH) events in chromosome 6p, comprising the human leukocyte antigen (HLA) genes, have been reported in about 10% of cutaneous melanoma (compared to 20-40% of squamous cell carcinomas), while copy number gains in this region have been observed in over 50% of melanoma. Recent studies focused in HLA allelic loss have been restricted to DNA-based approaches, and have not been validated orthogonally at the RNA or protein levels. Here, using clinical melanoma biopsies and patient-derived melanoma cell lines, we show that genetic alterations in HLA genes results in imbalanced allele expression, subsequently skewing antigen presentation by melanoma cells. Methods: Whole exome and RNA sequencing (WES, RNAseq) analyses were performed on 760 melanoma biopsies and 60 patient-derived melanoma cell lines. Patient-matched normal WES was used to perform HLA haplotyping across Class I and II HLA genes. Tumor WES was analyzed for copy number alterations in chromosome 6, identifying which alleles were lost or gained. Differential expression of HLA alleles was quantified in tumor RNAseq, correlating the allelic imbalance at the DNA and RNA levels. Melanoma cell lines heterozygous for HLA-A*02, A*03, and A*24 were analyzed by flow cytometry for surface-level HLA protein expression using allele-specific antibodies to quantify allelic densities and compare the imbalance of HLA-A alleles at the DNA, RNA, and protein levels. Results: Across 760 melanoma biopsies, copy number alterations in chromosome 6p were identified in 76% of tumors; 12% had LOH, and 54% had copy number gains that resulted in imbalanced copies of alleles. In paired tumor WES and RNAseq (N=682), genetic imbalance was correlated with imbalanced expression of HLA alleles in the classical Class I HLA genes (Spearman rho=0.64-0.7; p=2.2e-16); this association was strengthened in tumors with high tumor cellularity, and was not associated with the total expression of the HLA genes.These patterns were explored in a 60 patient-derived melanoma cell lines with matched tumor WES and RNAseq, confirming that alleles gained at the genetic level were also expressed at higher levels than alleles that were not gained or lost. In 10 cell lines heterozygous for either HLA-A*02, A*03, or A*24, allelic imbalance at the DNA and RNA level resulted in correlative imbalanced surface presentation of alleles at the protein level. Conclusions: Evaluation of paired tumor WES and RNAseq revealed orthogonal validation of HLA allelic imbalance, and analysis in cell lines suggested that these patterns were likely tumor intrinsic. Experimental validation of these findings at the protein level suggests that antigen presentation density can be modulated by chromosomal gains, and not just allelic loss, in HLA genes. This knowledge is important for the design of cancer vaccines or T cell therapies targeting neoantigens presented by HLA class I complexes. Citation Format: Katie M. Campbell, Justin Saco, Egmidio Medina, Meelad Amouzgar, Shannon M. Pfeiffer, Cynthia R. Gonzalez, Gabriela Steiner, Ameya Champhekar, Cristina Puig Saus, Jesse Zaretsky, Gabriel Abril Rodriguez, Agustin Vega-Crespo, Ignacio Baselga Carretero, Mito Tariveranmoshabad, Anusha Kalbasi, Christine Spencer, Zachary L. Skidmore, Malachi Griffith, Obi L. Griffith, Daniel K. Wells, Antoni Ribas. Infrequent chromosomal loss and recurrent gains lead to imbalanced expression of HLA genes in melanoma [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2022; 2022 Apr 8-13. Philadelphia (PA): AACR; Cancer Res 2022;82(12_Suppl):Abstract nr 3818.